Tools and Techniques
This new series by Tony Ojeda provides a framework for exploring data with Python. This first part introduces the framework and ways to think about data preparation.
Machine Learning Crash Course
Two-part tutorial from the Machine Learning at Berkeley organization. This is very visual and easy to follow:
- Part 1 - Introduction, Regression/Classification, Cost Functions, and Gradient Descent
- Part 2 - Perceptrons, Logistic Regression, and SVMs
Here's the latest installment of the very popular, Machine Learning is Fun series. You'll need more than this to recreate Siri but it's an interesting read and is a good start for a weekend project.
Must-read article for anyone who communicates using data to non-expert audiences.